Tonya Hongsermeier, MD, MBA Corporate Manager, Clinical Knowledge Management and Decision Support

1. From the Bench to Bedside Clinical Decision Support:The Role of Semantic Technologies in a Knowledge Management Infrastructure for Translational Medicine Tonya Hongsermeier, MD, MBA Corporate Manager, Clinical Knowledge Management and Decision Support Clinical Informatics R&D Partners Healthcare System

2. Current State of Translational Medicine • 17 year innovation adoption curve from discovery into accepted standards of practice • Even if a standard is accepted, patients have a 50:50 chance of receiving appropriate care, a 5-10% probability of incurring a preventable, anticipatable adverse event • The market is balking at healthcare inflation, new diagnostics and therapeutics will find increasing resistance for reimbursement • Most EHRs are under-nourished with knowledge, knowledge is embedded in multiple disconnected legacy pools and difficult to maintain, EHR knowledge editors are primitive and disconnected from semantics • Volume/velocity of knowledge processing exponentially growing, today we run at most 1000 rules at run time to manage an encounter, tomorrow, we’ll need to answer 1000,000s of questions for every decision

3. The Cytochrome P450 test…new data to drive drug choice and doseWhen do you order this test?How do you use the test result? Leading the News: Roche Test Promises to Tailor Drugs to Patients --- Precise Genetic Approach Could Mean Major Changes In Development, Treatment June 25, 2003 Roche Holding AG is launching the first gene test able to predict how a person will react to a large range of commonly prescribed medicines, one of the biggest forays yet into tailoring drugs to a patient's genetic makeup. The test is part of an emerging approach to treatment that health experts expect could lead to big changes in the way drugs are developed, marketed and prescribed. For all of the advances in medicine, doctors today determine the best medicine and dose for an ailing patient largely by trial and error. The fast-growing field of "personalized" medicine hopes to remove such risks and alter the pharmaceutical industry's more one-size-fits-all approach in making and selling drugs.

4. Closing the Loop on Decision Support and Discovery Depends on Shared Semantics Patient Encounter Clinical Trials Referral Test ordering and documentation guidance Personalized Medicine Decision Support Services and Knowledge Repository Tissue-bank Structured Test Result Interpretations Knowledge Acquisition, Discovery And Management Services for Clinical Care Therapeutic ordering and documentation guidance Structured Research Annotations Bench R&D Integrated Genotypic and Phenotypic Research Clinical Data Repository Clinical Trials 1- 4 R&D Discovery Services Pharmacovigilance

5. Translational Medicine: Requisite Architecture for Knowledge Acquisition &Discovery R&D DIAGNOSTIC Svs LABs CLINICAL TRIALS CLINICAL CARE PORTALS LIMS EHR APPLICATIONS ASSAYS ANNOTATIONS DIAGNOSTIC TEST RESULTS ASSAY INTERPRETATIONS ORDERS AND OBSERVATIONS KNOWLEDGE and WORKFLOW DELIVERY SERVICES FOR ALL PORTAL ROLES Genotypic Phenotypic DATA REPOSITORIES AND SERVICES State Management Services Semantic Inferencing And Agent-based Discovery Services KNOWLEDGE ACQUISITION AND DISCOVERY SERVICES Knowledge Asset Management and Repository Services Workflow Support Services Data Analysts and Collaborative Knowledge Engineers Collaboration Support Services Logic/Policy Domains Meta- Knowledge Knowledge Domains Data Domains NCI Metathesaurus, UMLS, SNOMED CT, DxPlain, ETC other Knowledge Sources Decision Support Services INFERENCING AND VOCABULARY ENGINES

6. Clinical processes for EGFR Testing Biopsy containing non-small cell lung cancerarrives in pathology EGFR testing Mutation(s), if present, identified Report generated ~ 1300 Mutations Identified in TK region Some Mutations  Responder Some Mutations  Resistance (ie KRAS) Many Mutations  Unknown Significance Large % of NSCLC tumors  no EGFR mutation PrescribeTKI? Yes No Treatment withTKI initiated Alternative treatmentinitiated New Knowledge of Mutation Variants merits alternative therapeutic recommendation and/or Patients should be monitored for acquired resistance Alter treatment?

7. Warning You are ordering: Tarceva Drug – Genetic Intervention Alert Message Keep New Order – selected reason(s) TARCEVA is contraindicated in patients with a somatic EGFR mutation known to be associated with resistance to Tyrosine Kinase Inhibitors for treatment of non-small cell lung cancer. Most recent = <overallResult> <date> Reasons for override: □ Patient has pancreatic cancer □ No reasonable alternatives □ Other _______________________ TKI Inhibitors – Knowledge-change Event Management • Ongoing research means interpretation of EGFR test result will have continuously changing clinical significance • Must model which changes warrant notification to change clinical management (new kind of classification rule) • Must propagate these knowledge base changes into Rules, Documentation Templates and Quality and Safety Reporting Systems

8. Knowledge Acquisition, Propagation and Change Management • Our approach is to build a knowledge staging infrastructure that enables knowledge-base change to propagate across related areas, • Will be leveraging Semantic Web Technologies to deploy knowledge as ontologies in encapsulated, re-usable services to avoid knowledge replication where possible to reduce cost the of maintenance • EHR vendor community will need to address gaps in their infrastructure approach to knowledge acquisition or it will be impossible to meet requirements of Personalized Medicine

9. 1st Stage Goal Architecture for Knowledge Management reduce “vertical silos” across multiple applications Knowledge Management Staging Area eRoom Content Vetting and Content Editing Portals 3rd Party Content NDDF Zynx Micromedex Clineguide Etc. Knowledge Search, Retrieval, and Reporting Services Editors Collaboration Services Meta-Knowledge Rules (ILOG), Reports &Queries Validation & Integration Templates/Groups of Orders and Observations Catalogues (Drugs, Orders, Observations) and Classifications Drugs, LOINC, SNOMED Terminologies, Prob List Classifications Documentum Content Management Server Documentum Deployment Agent Performance Data Feedback Research and Reporting Knowledge Repositories Transaction Knowledge Repositories Partners Services And Applications Web Service Lookup Production Knowledge Bases

10. Knowledge Model for Tarceva andNon-Small Cell Lung Cancer (NSCLC) Drug Tarceva Tyrosine Kinase Inhibitors Member of Drug Class Findings/Observations Tumor Regression in NSCLC Causes Indications Has Indications (Patient State Classification) NSCLC & Responder Mutation 1 EGFR Amplification Contraindications Has Contraindications (Patient State Classification) NSCLC & Resistance Mutation (ie KRAS) Allergy, etc

11. 2st Stage Goal Architecture for Knowledge Management:Collapse and Integration Horizontal Stacks Knowledge Management Staging Area eRoom Content Vetting and Content Editing Portals 3rd Party Content NDDF Zynx Micromedex Clineguide Etc. Knowledge Search, Retrieval, and Reporting Services Editors Collaboration Services Meta-Knowledge Rules and Reports Validation & Integration Ontologies and Classifications Catalogues, Templates, Dictionaries, Contraindications, Indications, Problem List,State Management, Expert Dosing Data Suppliers (SNOMED, NDDF, etc) Documentum Content Management Server Documentum Deployment Agent Performance Data Feedback Quality Data Management Knowledge Repositories Transaction Knowledge Repositories Partners Services And Applications Web Service Lookup Production Knowledge Bases

12. KM for Translational Medicine: Functional/Business Architecture R&D DIAGNOSTIC Svs LABs CLINICAL TRIALS CLINICAL CARE PORTALS LIMS EHR APPLICATIONS ASSAYS ANNOTATIONS DIAGNOSTIC TEST RESULTS ASSAY INTERPRETATIONS ORDERS AND OBSERVATIONS KNOWLEDGE and WORKFLOW DELIVERY SERVICES FOR ALL PORTAL ROLES Genotypic Phenotypic DATA REPOSITORIES AND SERVICES State Management Services Semantic Inferencing And Agent-based Discovery Services KNOWLEDGE ACQUISITION AND DISCOVERY SERVICES Knowledge Asset Management and Repository Services Workflow Support Services Data Analysts and Collaborative Knowledge Engineers Collaboration Support Services Logic/Policy Domains Meta- Knowledge Knowledge Domains Data Domains NCI Metathesaurus, UMLS, SNOMED CT, DxPlain, ETC other Knowledge Sources Decision Support Services INFERENCING AND VOCABULARY ENGINES